To compare the effect that the two differentially private deep learning algorithms, DP-SGD and PATE have on sub-populations with different sizes, we run a series of experiments on MNIST and SVHN datasets. We have selected these two datasets, as they are the ones used for the evaluations of the PATE framework [1]}.
